Understanding the essence of the parallel processing Definition is very important due to the use of parallelization in handling big data challenges. An interesting book that includes the definitions here can be found in...
Understanding a parallel processing example is quite important in order to understand the key concepts in parallelization and domain decomposition. This is in turn important since big data problems are typically solved using technologies...
SLURM stands for Simple Linux Utility for Resource Management and is a job scheduler tool used in high performance computing (HPC) environments in order to process big data. It is free and open-source and...
The SRUN command in SLURM enables the submission of a parallel high performance computing (HPC) job in a batch job script in order to analyze big data. It is usually often in job scripts...
A job Scheduler handles the multiple requests from different concurrent end users of a computing system that are analyzing big data in form of a so-called computing job. These schedulers are also sometimes called...
Amazon S3 is a simple storage service used for retrieving and storing user data from and to the remote Amazon cloud infrastructure that is able to handle big data. It enables selected datasets considered...
GPU stands for graphics processing unit and is a relatively new mechanism used for parallel approaches in order to analyse big data. This is particular the case for data parallelism and task parallelism. In...
OpenStack Swift is one of the core services of OpenStack that manages and control cloud resources. Swift is a very powerful service in order to manage and provide object storage and is thus a...
The XEN hypervisor is an open source hypervisor used for virtual machine management. It thus enables a hardware level virtualization and is installed on top of the bare-metal hardware. Therefore this hypervisor technology implements...
A multi core processor is a modern technology based on the improvements in processor and network Technologies. The significant advances in CPU chips over years contributed to multi-core architectures and is a key to...
